Kokila Perera

Kokila Perera

Higher Degree by Research Candidate

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology


  • Journals

    Year Citation
    2019 Perera, G. K. K., & Wannige, C. T. (2019). A hybrid algorithm for identifying partially conserved regions in multiple sequence alignment. International Journal of Computers and Applications, 43(10), 1-8.
    DOI Scopus2
  • Conference Papers

    Year Citation
    2024 Perera, K. K., & Neumann, A. (2024). Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem. In Proceedings of the Genetic and Evolutionary Computation Conference Vol. 325 (pp. 223-231). Online: ACM.
    DOI
    2024 Perera, K. K., Neumann, F., & Neumann, A. (2024). Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15148 LNCS (pp. 116-132). Hagenberg: Springer Nature Switzerland.
    DOI
    2016 Perera, K. K., & Wannige, C. T. (2016). A hybrid algorithm for multiple DNA sequence alignment. In 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer) (pp. 323). IEEE.
    DOI

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